| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | ACASA |
| Publications DECISION | 2023 | 2024 | Total |
|---|---|---|---|
| Books | 0 | 0 | 0 |
| Edited books | 0 | 0 | 0 |
| Journal articles | 2 | 8 | 10 |
| Book chapters | 0 | 0 | 0 |
| Conference papers | 13 | 5 | 18 |
| Habilitations | 0 | 1 | 1 |
| Thesis | 1 | 1 | 2 |
- H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Business Rules Uncertainty Management with Probabilistic Relational Models”, RuleML16, Stony Brook, New York, United States [Agli 2016a]
- H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Incremental Junction Tree Inference”, IPMU16, Eindhoven, Netherlands [Agli 2016b]
- H. Agli, Ph. Bonnard, Ch. Gonzales, P.‑H. Wuillemin : “Un algorithme d'arbre de jonction incrémental”, 8èmes journées francophones de réseaux bayésiens (JFRB 2016), Clermont-Ferrand, France [Agli 2016c]
- N. Benabbou, P. Perny : “Incremental Approval Voting for Multi-agent Knapsack Problems”, International Workshop on Computational Social Choice (COMSOC'16), Toulouse, France [Benabbou 2016a]
- N. Benabbou, P. Perny : “Solving Multi-agent Knapsack Problems Using Incremental Approval Voting”, European Conference on Artificial Intelligence, La Haye, Netherlands [Benabbou 2016b]
- N. Benabbou, P. Perny, P. Viappiani : “A regret-based preference elicitation approach for sorting with multicriteria reference profiles”, From Multicriteria Decision Making to Preference Learning (DA2PL'16), Paderborn, Germany [Benabbou 2016c]
- N. Benabbou, P. Perny, P. Viappiani : “Tri multicritère intéractif basé sur le concept de regret : approches avec seuils de préférences ou profils de référence”, 17ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2016), Compiègne, France [Benabbou 2016d]
- N. Benabbou, S. Di Sabatino Di Diodoro, P. Perny, P. Viappiani : “Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count”, The tenth International Conference on Scalable Uncertainty Management, vol. 9858, Lecture Notes in Computer Science, Nice, France, pp. 81-95, (Springer) [Benabbou 2016e]
- C. Butz, A. Dos Santos, Jh. Oliveira, Ch. Gonzales : “A Simple Method for Testing Independencies in Bayesian Networks”, 29th Canadian Conference on Artificial Intelligence, vol. 9673, Lecture Notes in Computer Science, Victoria, Canada, pp. 213-223 [Butz 2016]
- R. Costa Dias, H. Ouzia, A. Schledjewski : “Optimization of die-temperature in pultrusion of thermosetting composites for improved cure”, International Conference on Swarm Intelligence Based Optimization (ICSIBO 2016), Mulhouse, France [Costa Dias 2016]
- S. Drissi Oudghiri, P. Perny, O. Spanjaard, M. Hachimi : “Using the Sugeno Integral in Optimal Assignment Problems with Qualitative Utilities”, ECAI 2016 proceedings, The Hague, Netherlands [Drissi Oudghiri 2016]
- H. Gilbert, B. Zanuttini, P. Viappiani, P. Weng, E. Nicart : “Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities”, Proc. 32nd Conference on Uncertainty in Artificial Intelligence (UAI~2016), New York City, United States [Gilbert 2016a]
- H. Gilbert, O. Spanjaard : “Une nouvelle borne pour les problèmes d'optimisation combinatoire robuste avec des coûts sous forme d'intervalles”, 17ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF), Compiègne, France [Gilbert 2016b]
- Ch. Gonzales, L. Torti, P.‑H. Wuillemin : “Librairie aGrUM : a Graphical Universal Model”, 8èmes journées francophones de réseaux bayésiens (JFRB 2016), Clermont-Ferrand, France [Gonzales 2016]
- L. Hillah, A.‑P. Maesano, L. Maesano, F. De Rosa, F. Kordon, P.‑H. Wuillemin : “Service functional testing automation with intelligent scheduling and planning”, Symposium on Applied Computing (SAC), Proceeding of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, pp. 1605-1610 [Hillah 2016]
- M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, . Baumard : “Apprentissage et sélection de réseaux bayésiens dynamiques pour les processus online non-stationnaires”, Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, 8èmes journées francophones de réseaux bayésiens (JFRB 2016), Clermont-Ferrand, France [Hourbracq 2016a]
- M. Hourbracq, P.‑H. Wuillemin, Ch. Gonzales, . Baumard : “Real time learning of non-stationary processes with dynamic Bayesian Networks”, Information Processing and Management of Uncertainty in Knowledge-Based Systems, vol. 610, Communications in Computer and Information Science, Eindhoven, Netherlands, pp. 338-350, (Springer International Publishing) [Hourbracq 2016b]
- C. Maestre, Ch. Gonzales, S. Doncieux : “Bootstraping manipulation skills to learn affordances in open-ended environments”, Proceedings of the workshop Autonomous Perception: Applying Sensorimotor Contingencies and Predictive Processing to Developmental Robotics (ICDL-Epirob), Cergy-Pontoise, France, pp. 1-2 [Maestre 2016]
- E. Nicart, B. Zanuttini, H. Gilbert, B. Grilhères, F. Praca : “Building document treatment chains using reinforcement learning and intuitive feedback”, Proc. 11es Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA~2016), Grenoble, France [Nicart 2016a]
- E. Nicart, B. Zanuttini, H. Gilbert, B. Grilhères, F. Praca : “Building Document Treatment Chains Using Reinforcement Learning and Intuitive Feedback”, Tools with Artificial Intelligence (ICTAI), 2016 IEEE 28th International Conference on, San Jose, United States, pp. 635-639, (IEEE Computer Society) [Nicart 2016b]
- F. Pascual, O. Spanjaard : “Deux approches pour l'identification d'un axe politique gauche-droite à partir de données de votes par approbation”, 17ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF), Compiègne, France [Pascual 2016]
- P. Perny, P. Viappiani, A. Boukhatem : “Incremental Preference Elicitation for Decision Making Under Risk with the Rank-Dependent Utility Model”, Uncertainty in Artificial Intelligence, New York, United States [Perny 2016]
- O. Spanjaard, P. Weng : “Single-peakedness Based on the Net Preference Matrix: Characterization and Algorithms”, 6th International Workshop on Computational Social Choice (COMSOC-2016), Toulouse, France [Spanjaard 2016]
- S. Teso, A. Passerini, P. Viappiani : “Constructive Preference Elicitation by Setwise Max-Margin Learning”, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), New York, United States, pp. 2067-2073 [Teso 2016]